6 EC
Semester 2, period 6
5132SCPL6Y
Whereas scenario development can help to envision alternative futures, scenario planning can help illuminate the different ways in which things might be done to achieve the preferred, desired future. Or to prevent a worst case scenario from actually happening! Complexity-based scenarios provide a rational framework for thinking about and mapping out possible futures. A framework that is not based on simplistic determinism but rather is explicitly founded on reflexive social action. While such scenarios break with modernity’s outdated idea of a manageable society, they do offer the opportunity to make rational choices by showing the condition space that defines the possible scenarios, thus enabling us to choose the preferred future we want. With that, the scenario method offers a useful tool in all scientific fields concerned with ‘wicked’ problems, including the field of spatial planning. Via backcasting, i.e. reasoning backwards (which is the opposite of prediction), the necessary actions and interventions can be designed to try to realise the future that is projected in the preferred scenario. Road maps can help to build bridges between the present and the future by translating a shared vision into concrete action strategies.
Preferably, scenarios are based on both quantitative and qualitative analyses. Simulations, for instance, can function as computationally-assisted thought-experiments on the dynamics in a particular system. Models allow us to develop insights and ideas about thresholds, tipping-points and feedback or cascade mechanisms, and thus help elucidate the emergent dynamics in the complex systems in which our ‘wicked’ problems are embedded. And interviews with stakeholders can provide important information about interests and power relations in certain institutionalized practices, which are helpful in making estimations about the likelihood that certain innovations or policy strategies will be successful or not.
In this course, students following the Future Society track and students following the Future Earth track come together to work out a well-founded, complexity-based scenario in the form of a coherent and plausible story, told in words and numbers and captured in an attractive visualization, accompanied by a realistic road map in which a co-evolutionary pathway of a certain combined human and environmental system is described.
See literature packages belonging to the various topics.
Prior to the start of Scenario Planning, you will be informed about the topics you can work on. A list with various policy questions that Future Planet Studies alumni are actually working on (or have been working on) in their professional work fields will be made available on Canvas. You can select your favorite options and indicate your first three preferences via a Google Docs form. It is also possible to submit your preferences as a group, i.e. with other students whom you’d like to work with during the Scenario Planning course.
In the first two weeks, you will be introduced to the scenario method that will be used in the course. In various weblectures and knowledge clips, the relevance and possible uses of the method will be explained, as well as essential concepts, phases and tools of the scenario method. Your knowledge and insights in purpose and usefulness of the scenario method will be assessed in an individual assignment and will weigh heavily in the overall assessment of this assignment (see Assignment 1).
Meanwhile, in the work groups you will learn how to work with some useful tools that will help you and your team members get through the various phases of Scenario Planning. Each week, you will work on a partial assignment which together will lead you to the final Scenario Report. Most of the assignments are collectively assessed, but a part will be individually assessed (see Table 1).
Learning activities and study load
Table 1: Learning activities and study load
|
Course Element |
Amount |
Duration |
Total amount of hours |
|
Video clips and (web)lectures |
Equivalent of 4 lectures |
variable |
8 |
|
Reading the compulsory literature on futures thinking and the scenario method |
59 pages |
|
12 |
|
Reading mandatory and additional litera-ture on the chosen topic / policy question |
130 pages per member! |
|
20 |
|
Working on the Assignments (including both self-study and teamwork) |
5 |
2 |
40 |
|
Participation in workgroups |
5 |
2 |
10 |
|
Consulting with the team about collabo-ration and progress in the group process |
2 |
1 |
2 |
|
Consulting with the teacher about progress in the group process |
2 |
½ |
1 |
|
Writing the final Scenario Report |
1 |
121 |
73 |
|
Final Poster / Visualization Presentations |
1 |
2 |
2 |
|
EC |
6 |
28 |
168 |
Activity | Hours | |
Hoorcollege | 8 | |
Presentatie | 2 | |
Werkcollege | 14 | |
Self study | 144 | |
Total | 168 | (6 EC x 28 uur) |
Programme's requirements concerning attendance (OER-B):
Additional requirements for this course:
In the overall programme for Scenario Planning (available on Canvas) it is indicated what you are expected to prepare for each workgroup. Submittal of the preparatory assignments is conditional for meaningful participation in the workgroup. The preparatory assignments will not be graded separately, but are meant to support you to work steadily and reach a good end result. In the workgroups, you will receive feedback from teacher and peers, which you implement in your final assignments and final scenario report.
Not meeting the entree requirements for the workgroups, i.e. not submitting the preparatory assignments means exclusion from the workgroup and, if more than one workgroup is missed, exclusion from the course. The Assessment Table together with the overall programme gives you a clear overview of all assignments. In the Assessment Form you can find the assessment criteria for both the individual assignment and group assignments, so you know exactly what to do to ensure an effective participation in the workgroups and a good final product for Scenario Planning.
| Item and weight | Details |
|
Final grade |
The assessment consists of three graded assignments:
Besides these graded assignments, there are also three Preparatory Assignments, i.e. assignments that help you to stay on track during the various phases of the course. The Preparatory Assignment for Phase 1 is a Preliminary Problem Analysis. The Preparatory Assignment for Phase 2/3 is to design a Scenario Matrix, i.e. choice of central drivers based on a trend analysis. The Preparatory Assignment for Phase 4 consists of Policy Recommendations and a Roadmap towards a desired future scenario. Together with Assignment 1 and 2, these Preparatory Assignments result in Assignment 3: the final Scenario Report.
Next to these graded Assignment, there is Assignment 4: Reflection on the Group Process, which is not graded but which has to be completed in order to be able to finish the course successfully. Besides the teacher, the students also assess each team member’s contribution to the overall group process (see the Self & Peer Assessment Form for the Interim and Final Assessment of the collaboration). They can assign different shares to different team members, i.e. reward the team members with different grades according to the contribution they paid. If needed, the group grade will be corrected to reflect the real contribution made by individual members according to the values appointed via the Self and Peer Assessment. In case this correction diminishes the total score of an individual team member to < 5.5, the final grade will not be sufficient to pass the course. In that case, the student will consult with the teacher to see what additional work needs to be done to try and pass after a second chance.
|
Course element |
Date / Deadline |
Weight |
Minimum Grade |
Compen-sable? |
Second Chance |
|
Preparatory Assignment phase 1: Preliminary Problem Analysis, based on force field analysis and Causal Loop Diagram |
Friday 7 June 2024 23:59
|
[20%] |
-
|
-
|
|
|
Assignment 1: Final Problem Analysis, based on force field analysis, Causal Loop Diagram, Trend Analysis & Expert Consultation |
Wednesday 12 June 2024 17:00 |
20% |
Expert consul-tation: Pass / Fail |
Yes, part of overall report |
Friday 28 June 2024 23:59 (max. 6) |
|
Preparatory Assignment phase 2/3: Scenario Matrix |
Friday 14 June 2024 23:59 |
[10%] |
- |
- |
|
|
Assignment 2: Individually worked out Scenarios, including explanation of the purpose and use of scenario development and planning in general, and this scenario in particular, and a Poster / Visualization for each Scenario |
Friday 21 June 2024 23:59 |
40% Individual grade |
5,5
|
No |
No submittal on first try or too late --> 2nd chance on Friday 28 June 23.59* Grade < 5.5 --> 2nd chance minimally week after feedback |
|
Preparatory Assignment phase 4: Poster/ Visualization of Scenario(s), Policy Advice and/or Roadmap |
Wednesday 26 June 2024 23:59 |
[20%] |
-
|
- |
|
|
Assignment 3: Group report on science-based future scenarios, including Problem Analysis (i.e. Assignment 1) Scenario Matrix & Worked out Scenarios and Posters / Visualizations (i.e. Assignment 2) Policy Recommendations & Roadmap Overall quality of the report |
Friday 28 June 2024 23:59 |
100%; comprised by: 20% 10% 40% (ind. grade!) 20% 10% |
5,5 - |
Yes, if individual contribution lifts the overall grade above 5.5 Note: lack of sufficient individual contribu-tion can also diminish the grade to < 5.5! |
Grade < 5.5 --> 2nd chance minimally week after announcement grade |
|
Assignment 4: Reflection on the group process, including: Interim Reflection on the collaboration & Final Reflection on the collaboration, making use of the Self & Peer Assessment Form |
Wednesday 19 June 2024 14:00 Friday 28 June 2024 23:59
|
Complete = Pass / Incomplete = Fail
|
|
|
|
* No submittal before Friday 28 June 23.59 means you can’t successfully complete the course and need to do it again next year.
Table: Assessment Matrix – Constructive Alignment between Objectives & Assessment
|
Assessment matrix Scenario Planning |
|||||||
|
|
Blooms cognitive skills |
Assignments + weight (%) |
|||||
|
Know-ledge |
compre-hension |
appli-cation |
analysis |
eva-luation |
synthesis/ creation |
||
|
1 + 2 + 3 |
X |
X |
X |
X |
X |
|
Formative assignment: Preliminary Problem Analysis (Ass. 1) (20% - group grade) |
|
1 + 2 + 3 |
X |
X |
X |
X |
X |
|
Summative assignment: Problem Analysis (Ass. 1) 20% - group grade |
|
1 + 2 + 3 |
X |
X |
X |
X |
X |
|
Formative assignment: Scenario Matrix (10% - group grade) |
|
1 + 2 + 3 + 4 + 6 |
X |
X |
X |
X |
X |
|
Summative assignment: Worked out scenarios (Ass. 2) 40% - individual grade |
|
1 + 2 + 3 + 4 + 5 |
X |
X |
X |
X |
X |
|
Formative assignment: Policy Recommendations (20% - group grade) |
|
1 + 2 + 3 + 4 + 5 + 6 |
X |
X |
X |
X |
X |
|
Summative assignment: Scenario Report (Ass. 3) 100%, consisting of the elements above |
|
5 |
|
|
|
|
|
|
Formative assignment: Reflection on Group Process (Complete = Pass / Incomplete = Fail) |
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl
| Weeknummer | Onderwerpen | Studiestof |
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| 2 | ||
| 3 | ||
| 4 |
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| Course Name (#EC) | N | |
| Strengths | Notes for improvement |
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| Response lecturer: |
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